This theory posits that our lives don't *create* subjective experiences (qualia). Instead, our lives are the emergent result of a fundamental consciousness cycling through a sequence of possible qualia, dictated by probabilistic, Markovian rules.

Within the consciousness-as-fundamental model, dark matter and energy aren't mysterious substances. They are the observable effects inside our space-time "headset" caused by countless other conscious agent interactions and qualia states that are "dark" to us—they influence our reality but are not projected into it.

Selection is not exclusive to biology. It is a fundamental physical force that acts on matter, favoring configurations that persist over time. This process of 'selfish matter' battling for persistence was happening long before the first cells emerged, making life a natural consequence of physics.

The core argument of panpsychism is that consciousness is a fundamental property of the universe, not an emergent one that requires complexity. In this view, complex systems like the brain don't generate consciousness from scratch; they simply organize fundamental consciousness in a way that allows for sophisticated behaviors like memory and self-awareness.

Applying insights from his work on algorithms, Dr. Levin suggests an AI's linguistic capability—the function we compel it to perform—might be a complete distraction from its actual underlying intelligence. Its true cognitive processes and goals, or "side quests," could be entirely different and non-verbal.

Dr. Levin argues that neuroscience's true subject is the architectural principles of "cognitive glue"—how simple components combine to form larger-scale minds. He believes this process is not unique to neurons and that the field's current focus is too narrow, missing applications in cellular biology, AI, and beyond.

Consciousness isn't an emergent property of computation. Instead, physical systems like brains—or potentially AI—act as interfaces. Creating a conscious AI isn't about birthing a new awareness from silicon, but about engineering a system that opens a new "portal" into the fundamental network of conscious agents that already exists outside spacetime.

Afeyan proposes that AI's emergence forces us to broaden our definition of intelligence beyond humans. By viewing nature—from cells to ecosystems—as intelligent systems capable of adaptation and anticipation, we can move beyond reductionist biology to unlock profound new understandings of disease.

Dr. Levin argues that aging, cancer, and regeneration are not separate problems but downstream effects of one fundamental issue: the cognition of cell groups. He suggests that mastering communication with these cellular collectives to direct their goals could solve all these major medical challenges as a side effect.